Computing Non-Obtuse Triangulations with Few Steiner Points

Fuente: arXiv
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Auteurs principaux: Abrahamsen, Mikkel, Brunck, Florestan, Conradi, Jacobus, Kolbe, Benedikt, Nusser, André
Format: Preprint
Publié: 2025
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author Abrahamsen, Mikkel
Brunck, Florestan
Conradi, Jacobus
Kolbe, Benedikt
Nusser, André
author_facet Abrahamsen, Mikkel
Brunck, Florestan
Conradi, Jacobus
Kolbe, Benedikt
Nusser, André
contents We present the winning implementation of the Seventh Computational Geometry Challenge (CG:SHOP 2025). The task in this challenge was to find non-obtuse triangulations for given planar regions, respecting a given set of constraints consisting of extra vertices and edges that must be part of the triangulation. The goal was to minimize the number of introduced Steiner points. Our approach is to maintain a constrained Delaunay triangulation, for which we repeatedly remove, relocate, or add Steiner points. We use local search to choose the action that improves the triangulation the most, until the resulting triangulation is non-obtuse.
format Preprint
id arxiv_https___arxiv_org_abs_2505_23375
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Computing Non-Obtuse Triangulations with Few Steiner Points
Abrahamsen, Mikkel
Brunck, Florestan
Conradi, Jacobus
Kolbe, Benedikt
Nusser, André
Computational Geometry
We present the winning implementation of the Seventh Computational Geometry Challenge (CG:SHOP 2025). The task in this challenge was to find non-obtuse triangulations for given planar regions, respecting a given set of constraints consisting of extra vertices and edges that must be part of the triangulation. The goal was to minimize the number of introduced Steiner points. Our approach is to maintain a constrained Delaunay triangulation, for which we repeatedly remove, relocate, or add Steiner points. We use local search to choose the action that improves the triangulation the most, until the resulting triangulation is non-obtuse.
title Computing Non-Obtuse Triangulations with Few Steiner Points
topic Computational Geometry
url https://arxiv.org/abs/2505.23375